Data registration refers to a series of techniques for matching or bringing similar objects or datasets together into alignment. These techniques enjoy widespread use in a diverse variety of applications, such as video coding, tracking, object and face detection and recognition, surveillance and satellite imaging, medical image analysis and structure from motion. Registration methods are as numerous as their manifold uses, from pixel level and block or feature based methods to Fourier domain methods.
This book is focused on providing algorithms and image and video techniques for registration and quality performance metrics. The authors provide various assessment metrics for measuring registration quality alongside analyses of registration techniques, introducing and explaining both familiar and state-of-the-art registration methodologies used in a variety of targeted applications.
Key features:
- Provides a state-of-the-art review of image and video registration techniques, allowing readers to develop an understanding of how well the techniques perform by using specific quality assessment criteria
- Addresses a range of applications from familiar image and video processing domains to satellite and medical imaging among others, enabling readers to discover novel methodologies with utility in their own research
- Discusses quality evaluation metrics for each application domain with an interdisciplinary approach from different research perspectives
From the Back Cover
Data registration refers to a series of techniques for matching or bringing similar objects or datasets together into alignment. These techniques enjoy widespread use in a diverse variety of applications, such as video coding, tracking, object and face detection and recognition, surveillance and satellite imaging, medical image analysis and structure from motion. Registration methods are as numerous as their manifold uses, from pixel level and block or feature based methods to Fourier domain methods.
This book is focused on providing algorithms and image and video techniques for registration and quality performance metrics. The authors provide various assessment metrics for measuring registration quality alongside analyses of registration techniques, introducing and explaining both familiar and state-of-the-art registration methodologies used in a variety of targeted applications.
Key features:
- Provides a state-of-the-art review of image and video registration techniques, allowing readers to develop an understanding of how well the techniques perform by using specific quality assessment criteria
- Addresses a range of applications from familiar image and video processing domains to satellite and medical imaging among others, enabling readers to discover novel methodologies with utility in their own research
- Discusses quality evaluation metrics for each application domain with an interdisciplinary approach from different research perspectives
About the Author
Vasileios Argyriou, School of Computing and Information Systems, Faculty of Science, Engineering and Computing University of Kingston, UK
Dr. Argyriou is a Senior Lecturer of Computing Information Systems and Mathematics at Kingston University. His research focuses on computer vision and computer games. Dr. Argyriou is a committee member of BSI British Standards working on the new global standard for biometric IDs and 3D face information. Dr. Argyriou conceived, ?organised and chaired the first, second and third international workshops on Computer Vision for Computer Games (CVCG) part of the CVPR 2010-2012 conferences to bring together game industry and researchers on video processing, action recognition, real time systems and 3D scene reconstruction.
Georgios Tzimiropoulos, School of Computer Science, University of Lincoln, UK
Dr. Tzimiropoulos is a Senior Lecturer in the School of Computer Science at the University of Lincoln, U.K. He is currently an Associate Editor of the Image and Vision Computing Journal. He also serves as an Area Chair for the tenth IEEE Conference on Automatic Face and Gesture Recognition. His research interests include face and object recognition, alignment and tracking, and facial expression analysis. He is a member of the IEEE.
Barbara Villarini, Advanced Research Technology ART Group, Italy
Dr. Villarini is a researcher and developer at Advanced Research Technology ART group s.r.l working on innovative technologies to manage and optimize digital cinema from small cinema to multiplexing. She has participated in a number of EU and national projects, including the European Project EDCine in IST FP6, working on the improvement and achievement of the interoperability of Digital Cinema based on JPEG 2000 coding.
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